Method, device, equipment and medium for determining interrogation results based on digital police

Abstract

The present application relates to the field of data processing, and in particular to a method, device, equipment and medium for determining the interrogation result based on digital police, the method comprising: obtaining surveillance images corresponding to the suspect, and determining the environmental information and initial human body information of the suspect based on the surveillance images; determining the environmental similarity between multiple preset environments and the environmental information respectively; and optimizing the human body information based on the maximum environmental similarity to obtain the target human body information; determining the real-time interrogation status of the suspect based on the target human body information and environmental information; obtaining the question and answer content corresponding to the suspect, and determining the target interrogation result based on the question and answer content and the real-time interrogation status. The present application can improve the accuracy of the interrogation result.

Description

Technical Field

[0001] The present application relates to the technical field of data processing, and more particularly to a method, apparatus, device and medium for determining interrogation results based on digital police. Background Art

[0002] Digital police is a system supported by RPA+AI and big data technologies. It can replace or assist police officers in performing repetitive and regular operations on computers, thus improving the efficiency of police work.

[0003] When the suspect communicates with the digital police, he may become agitated or even panic due to environmental and / or psychological factors. At this time, obtaining the interrogation results only through the suspect's language may result in inaccurate interrogation results.

[0004] Therefore, how to determine the query result more accurately is a technical problem that needs to be solved urgently by those skilled in the art. Summary of the invention

[0005] In order to more accurately determine the inquiry results, the present application provides an inquiry result determination method, apparatus, device and medium based on digital police.

[0006] In the first aspect, the present application provides a method for determining the interrogation result based on digital police, which adopts the following technical solution:

[0007] A method for determining an inquiry result based on digital police, comprising:

[0008] Obtaining surveillance images corresponding to the suspect, and determining the environment information and initial human body information of the suspect based on the surveillance images;

[0009] Determine the environmental similarities between a plurality of preset environments and the environmental information respectively; and based on the maximum environmental similarity, optimize the human body information to obtain target human body information;

[0010] Determining the real-time interrogation status of the suspect based on the target human body information and the environmental information;

[0011] The question and answer content corresponding to the suspect is obtained, and based on the question and answer content and the real-time questioning status, a target questioning result is determined.

[0012] By adopting the above technical solution, after obtaining the surveillance image of the suspect, the environmental information and initial human body information of the suspect are determined based on the surveillance image to determine the current environment and current status of the suspect; because different environments may have an impact on the identification of human body information, this solution determines the environmental similarities between multiple preset environments and the environmental information respectively, and then optimizes the human body information based on the maximum environmental similarity, so as to obtain more accurate target human body information; based on the more accurate target human body information and environmental information, a more accurate real-time questioning status of the suspect can be obtained; after obtaining the question and answer content corresponding to the suspect, based on the question and answer content and the more accurate real-time questioning status, the questioning result can be accurately determined.

[0013] In a preferred example, the present application can be further configured as follows:

[0014] The initial human body information at least includes initial human body features and initial posture information.

[0015] The step of optimizing the human body information based on the maximum environmental similarity to obtain target human body information includes:

[0016] Determine a human body information deviation value corresponding to a preset environment corresponding to the maximum environment similarity;

[0017] Based on the human body information deviation value, the initial human body feature is optimized to obtain the target human body feature;

[0018] Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain target posture information;

[0019] The target posture information and the target body features are combined as the target body information.

[0020] By adopting the above technical solution, the deviation value of human body information corresponding to the maximum environmental similarity is determined to determine the degree of influence of the suspect's environment on the human body information recognition process; based on the above influence degree, the initial human body features are optimized to obtain target human body features that are more in line with reality; based on the monitoring image and the target human body features that are more in line with reality, the initial posture information is optimized to obtain target posture information that is more in line with reality; the target posture information and target human features that are more in line with reality are used as more reasonable target human information.

[0021] In a preferred example, the present application can be further configured as follows:

[0022] The target human body information may include at least posture information and facial information.

[0023] The determining the real-time interrogation status of the suspect based on the target human body information and the environmental information includes:

[0024] Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information;

[0025] Based on the environmental information, the real-time query state is determined among the plurality of target states.

[0026] By adopting the above technical scheme, multiple initial states of the suspect are determined based on facial information to determine multiple possible initial states of the suspect; several target states that meet the posture information are determined among the multiple possible initial states, which is the first screening; the real-time inquiry state that meets the environmental information is screened out from the above several target states, which is the second screening; this scheme can obtain a more accurate real-time inquiry state through two screenings.

[0027] In a preferred example, the present application can be further configured as follows:

[0028] The determining of a target inquiry result based on the question and answer content and the real-time inquiry status includes:

[0029] Determining the initial questioning result of the suspect based on the question and answer content;

[0030] The target query result is determined according to the initial query result and the real-time query status.

[0031] By adopting the above technical solution, a preliminary judgment is made on what the suspect said based on the question and answer content to obtain an initial interrogation result; the initial interrogation result is processed according to the real-time interrogation status to obtain a more accurate target interrogation result.

[0032] In a preferred example, the present application can be further configured as follows:

[0033] After determining the target inquiry result based on the question and answer content and the real-time inquiry status, the method further includes:

[0034] Determining whether the target query result is the same as the initial query result;

[0035] If not, the preset environment is updated based on the environment information.

[0036] By adopting the above technical solution, it is judged whether the target query result and the initial query result are the same to determine whether the environmental information meets the requirements. If it meets the requirements, the above environmental information is added to the preset environment to increase the preset environment reserve.

[0037] In the second aspect, the present application provides a device for determining the inquiry result based on digital police, which adopts the following technical solution:

[0038] A digital police-based interrogation result determination device, comprising:

[0039] An acquisition module, used to acquire the surveillance image corresponding to the suspect, and determine the environment information and initial human body information of the suspect based on the surveillance image;

[0040] A first determination module is used to determine the environmental similarities between a plurality of preset environments and the environmental information respectively; and based on the maximum environmental similarity, the human body information is optimized to obtain target human body information;

[0041] A second determination module, configured to determine the real-time interrogation status of the suspect based on the target human body information and the environmental information;

[0042] The generation module is used to obtain the question and answer content corresponding to the suspect, and determine the target questioning result based on the question and answer content and the real-time questioning status.

[0043] In a preferred example, the present application can be further configured as follows:

[0044] The initial human body information at least includes initial human body features and initial posture information. The first determination module, when optimizing the human body information based on the maximum environment similarity to obtain target human body information, is used to:

[0045] Determine a human body information deviation value corresponding to a preset environment corresponding to the maximum environment similarity;

[0046] Based on the human body information deviation value, the initial human body feature is optimized to obtain the target human body feature;

[0047] Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain target posture information;

[0048] The target posture information and the target body features are combined as the target body information.

[0049] In a preferred example, the present application can be further configured as follows:

[0050] The target human body information may include at least posture information and facial information. The second determination module, when determining the real-time interrogation status of the suspect based on the target human body information and the environmental information, is used to:

[0051] Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information;

[0052] Based on the environmental information, the real-time query state is determined among the plurality of target states.

[0053] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0054] at least one processor;

[0055] Memory;

[0056] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the digital police-based interrogation result determination method as described in any one of the first aspects.

[0057] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0058] A computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to execute the method for determining an inquiry result based on digital police as described in any one of the first aspects.

[0059] In summary, this application at least includes the following beneficial technical effects:

[0060] After obtaining surveillance images of the suspect, the environmental information and initial human body information of the suspect are determined based on the surveillance images to determine the current environment and current status of the suspect. Because different environments may affect the identification of human body information, this solution optimizes the human body information based on the maximum environmental similarity after determining the environmental similarities between multiple preset environments and environmental information, so as to obtain more accurate target human body information. Based on more accurate target human body information and environmental information, a more accurate real-time questioning status of the suspect can be obtained. After obtaining the question and answer content corresponding to the suspect, the question result can be accurately determined based on the question and answer content and the more accurate real-time questioning status. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 A flowchart of a method for determining interrogation results based on digital police provided in an embodiment of the present application.

[0062] Figure 2 A structural diagram of a device for determining interrogation results based on digital police provided in an embodiment of the present application.

[0063] Figure 3A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0064] The following is combined with Figure 1 To Attachment Figure 3 This application is described in further detail.

[0065] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, a person skilled in the art may make non-creative modifications to the present embodiment as needed, but such modifications are protected by the patent law as long as they are within the scope of the present application.

[0066] In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application are clearly and completely described. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0067] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0068] The functions of the digital police in the related art include at least the suspect interrogation function. When the user triggers the interrogation function of the digital police, the digital police obtains the basic case information corresponding to the suspect, and then generates questions to be asked based on the basic case information; when asking questions to the suspect, the digital police receives the suspect's answers to the questions to be asked; based on all the questions to be asked and their corresponding answers, the interrogation results for the suspect are generated. The interrogation results in the related art include the answers to the multiple questions to be asked.

[0069] What needs to be understood is that different environments can cause people to have different emotional states. The main reasons are as follows: situational influence, social interaction, memory association, physiological reaction, personal experience and psychological expectations, environmental pressure and environmental adaptability, etc.

[0070] First is the situational influence. Situational factors in the environment, such as weather, temperature, and atmosphere, can affect people's emotions. For example, rainy or cold weather often makes people feel depressed or down, while sunny and warm environments are more likely to trigger positive emotions. Then there is social interaction. Interpersonal relationships and social interactions in the environment can also have an impact on people's emotions. Communication, interaction, and social support with others can bring happiness and satisfaction, while loneliness and social isolation can lead to negative emotional states. Then there is memory association. Certain elements in the environment may trigger people's memories and associations, which in turn affect emotions. For example, hearing a specific song may trigger nostalgia for the past or a specific emotion. The second is physiological reactions. Physical stimuli in the environment, such as noise, smell, etc., may cause physiological reactions in people, such as accelerated heartbeat and increased blood pressure, which in turn affect emotions. The next is personal experience and psychological expectations. Personal life experience and psychological expectations can also affect emotional responses to the environment. For example, a person may feel fear or anxiety about new challenges after experiencing many failures. Important is environmental pressure. Stress factors in the environment, such as work pressure and economic pressure, can also affect emotional states. Continuous stress can lead to negative emotions such as anxiety and depression. Finally, it is important to note that people have different adaptability to the environment, which can also affect their emotional state. Some people may adapt more easily to a changing environment, while others may take longer to adapt.

[0071] In summary, the reason why different environments cause people to have different emotional states is mainly due to the combined effects of multiple factors such as situational influence, social interaction, memory association, physiological reaction, personal experience and psychological expectations, environmental pressure and environmental adaptability.

[0072] In the embodiment of the present application, the query results obtained can be used to complete the case map.

[0073] The embodiments of the present application are further described in detail below in conjunction with the drawings in the specification.

[0074] The embodiment of the present application provides a method for determining the results of an inquiry based on digital police, which is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. Figure 1 As shown, the method includes steps S101 to S104, wherein:

[0075] Step S101: Obtain surveillance images corresponding to the suspect, and determine the environment information and initial human body information of the suspect based on the surveillance images.

[0076] Specifically, the user uploads basic information about the case from the user end, and after the electronic device receives the basic information about the case, the suspect questioning function is triggered; after the suspect questioning function is triggered, the monitoring device starts to collect monitoring images of the suspect, wherein the monitoring image is an audio monitoring image, and the audio monitoring image includes an image and a sound corresponding to the image, and the sound includes ambient sound and a sound corresponding to the suspect, and the image includes an image of the suspect and an environmental image; based on the above ambient sound and environmental image, the environmental information is determined, wherein the environmental information includes environmental characteristics such as time, location and noise level; based on the above sound corresponding to the suspect and the image corresponding to the suspect, the initial human body information is determined, wherein the above initial human body information at least includes initial human body characteristics and initial posture information, and the initial human body characteristics refer to human body characteristic parameters. It should be noted that different people have different human body characteristic parameters, and the human body characteristic parameters can be used to distinguish people. The initial posture information represents the suspect's body posture.

[0077] Step S102: determining the environmental similarities between the plurality of preset environments and the environmental information respectively; and optimizing the human body information based on the maximum environmental similarity to obtain the target human body information.

[0078] The preset environment is pre-set by a technician and stored in the electronic device. The preset environment is determined by preset environment characteristics such as preset time similarity, preset location similarity, and preset noise level similarity corresponding to the preset environment.

[0079] Determining the environmental similarities between multiple preset environments and the environmental information respectively may specifically include: for each preset environment, determining the sub-similarity between each preset environmental feature and the environmental feature in the environmental information corresponding to the preset environmental feature, averaging all the sub-similarities corresponding to the preset environment to obtain the above-mentioned environmental similarity.

[0080] Step S103: Determine the real-time interrogation status of the suspect based on the target body information and environmental information.

[0081] The real-time interrogation status represents the psychological state of the suspect. Specifically, the real-time interrogation status may be states such as panic, panic, and calmness.

[0082] Step S104: Obtain the question and answer content corresponding to the suspect, and determine the target questioning result based on the question and answer content and the real-time questioning status.

[0083] The question and answer content includes multiple questions asked to the suspect by the electronic device and the suspect's corresponding answers to each of the above questions.

[0084] Specifically, for each question, an initial answer to the question is obtained based on the question and the corresponding answer, wherein the initial answer is the answer content; the authenticity of the answer content is determined based on the real-time inquiry status, wherein the authenticity can be determined by the correspondence between the preset inquiry status and the authenticity and the real-time inquiry status; the initial answer is corrected based on the authenticity to obtain the target answer; and the target inquiry result is determined based on the target answer.

[0085] In an embodiment of the present application, after obtaining surveillance images of the suspect, the environmental information and initial human body information of the suspect are determined based on the surveillance images to determine the current environment and current status of the suspect; because different environments may have an impact on the identification of human body information, this solution optimizes the human body information based on the maximum environmental similarity after determining the environmental similarities between multiple preset environments and the environmental information, so as to obtain more accurate target human body information; based on the more accurate target human body information and environmental information, a more accurate real-time inquiry status of the suspect can be obtained; after obtaining the question and answer content corresponding to the suspect, based on the question and answer content and the more accurate real-time inquiry status, the inquiry result can be accurately determined.

[0086] In a possible implementation of the embodiment of the present application, the initial human body information includes at least initial human body features and initial posture information. Step S102 optimizes the human body information based on the maximum environment similarity to obtain target human body information, which may specifically include:

[0087] Determine the human body information deviation value corresponding to the preset environment corresponding to the maximum environment similarity;

[0088] Based on the deviation value of human body information, the initial human body features are optimized to obtain the target human body features;

[0089] Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain the target posture information;

[0090] The combination of target posture information and target body features is used as target body information.

[0091] It is understandable that different environments have different effects on electronic devices' recognition of human features and posture information. This solution determines the preset environment that is most similar to the current environment by screening out the greatest environmental similarity; from the correspondence between the preset environment and the deviation value, determines the human body information deviation value corresponding to the preset environment that is most similar to the current environment, wherein the human body information deviation value is a parameter change table, which includes parameter change values ​​corresponding to multiple preset human features, so as to determine the extent of the impact of the current environment on the human body information recognition process.

[0092] Based on the human body information deviation value, the initial human body features are optimized to obtain the target human body features. In one implementation, it may specifically include: for each initial sub-human body feature in the initial human body features, based on the parameters in the human body information deviation value corresponding to the initial sub-human body feature, the actual value corresponding to the initial sub-human body feature is optimized to obtain a new value; all new values ​​and the human body features corresponding to each are used as the target human body features. In another implementation, it may specifically include: identifying the suspect image based on the surveillance image; adjusting the suspect image included in the suspect image based on the image-related parameter change value in the human body information deviation value to obtain a new suspect image; adjusting the suspect audio included in the suspect image based on the audio-related parameter change value in the human body information deviation value to obtain a new suspect audio; fusing the above-mentioned new suspect audio with the new suspect image to obtain a new suspect image; and identifying human features based on the new suspect image to obtain the target human body features.

[0093] Based on the surveillance image and the target body features, the initial posture information is optimized to obtain the target posture information, which may specifically include: re-identifying the suspect in the surveillance image based on the target body features to obtain a new suspect image; determining the posture group corresponding to the above initial posture information, and re-determining it in the above posture group to obtain the target posture information.

[0094] In an embodiment of the present application, the human body information deviation value corresponding to the maximum environmental similarity is determined to determine the degree of influence of the suspect's environment on the human body information recognition process; the initial human body features are optimized based on the above-mentioned degree of influence to obtain target human body features that are more in line with reality; based on the monitoring image and the target human body features that are more in line with reality, the initial posture information is optimized to obtain target posture information that is more in line with reality; the target posture information and target human features that are more in line with reality are used as more reasonable target human information.

[0095] In a possible implementation of the embodiment of the present application, the target body information may include at least posture information and facial information. Step S103, based on the target body information and environmental information, determines the real-time interrogation status of the suspect, which may specifically include:

[0096] Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information;

[0097] Based on the environmental information, a real-time query state is determined among several target states.

[0098] Specifically, multiple possible initial states of the suspect are determined based on facial information; several target states are determined from the above multiple initial states based on posture information, wherein the same expression of the same person may represent different states, first determine all states that the expression may correspond to, and then determine the target state from all states that the expression may correspond to. It can be understood that the same body posture of the same person may also represent different states, so determining the real-time interrogation status from two dimensions of body posture and facial expression is more accurate than determining it from only one dimension.

[0099] In an embodiment of the present application, multiple initial states of the suspect are determined based on facial information to determine multiple possible initial states of the suspect; several target states that meet the posture information are determined among the multiple possible initial states, which is the first screening; real-time inquiry states that meet the environmental information are screened out from the above-mentioned several target states, which is the second screening; this scheme can obtain a more accurate real-time inquiry state through two screenings.

[0100] In a possible implementation of the embodiment of the present application, step S104, determining a target inquiry result based on the question and answer content and the real-time inquiry status may specifically include:

[0101] Determine the initial questioning results of the suspect based on the questions and answers;

[0102] Determine the target query result based on the initial query result and the real-time query status.

[0103] Among them, the initial questioning results are the suspect's corresponding answers to all questions.

[0104] In an embodiment of the present application, a preliminary judgment is made on what the suspect said based on the question and answer content to obtain an initial interrogation result; the initial interrogation result is processed according to the real-time interrogation status to obtain a more accurate target interrogation result.

[0105] A possible implementation of the embodiment of the present application may further include, in step S104, after determining the target inquiry result based on the question and answer content and the real-time inquiry status:

[0106] Determine whether the target query result is the same as the initial query result;

[0107] If not, the preset environment is updated based on the environment information.

[0108] It is understandable that when the target interrogation result is the same as the initial interrogation result, it indicates that the suspect is in an abnormal state, that is, the environment at this time is very likely to have an impact on the suspect's emotional state or even psychological state. At this time, storing the environmental information as a preset environment in the electronic device can increase the storage data of the electronic device for different environmental information that affects the suspect.

[0109] In an embodiment of the present application, it is determined whether the target query result and the initial query result are the same to determine whether the environmental information meets the requirements. If it meets the requirements, the above environmental information is added to the preset environment to increase the preset environment reserve.

[0110] The above-mentioned embodiment introduces a method for determining the inquiry result based on digital police from the perspective of method flow. The following embodiment introduces a device for determining the inquiry result based on digital police from the perspective of a virtual module or a virtual unit. For details, please refer to the following embodiment.

[0111] The embodiment of the present application provides a device for determining the inquiry result based on digital police, such as Figure 2 As shown, the digital police-based inquiry result determination device may specifically include:

[0112] An acquisition module is used to acquire the surveillance image corresponding to the suspect, and determine the environment information and initial human body information of the suspect based on the surveillance image;

[0113] The first determination module is used to determine the environmental similarities between the plurality of preset environments and the environmental information respectively; and based on the maximum environmental similarity, optimize the human body information to obtain the target human body information;

[0114] A second determination module is used to determine the real-time interrogation status of the suspect based on the target human body information and environmental information;

[0115] The generation module is used to obtain the question and answer content corresponding to the suspect, and determine the target questioning result based on the question and answer content and the real-time questioning status.

[0116] In a possible implementation of the embodiment of the present application, the initial human body information includes at least initial human body features and initial posture information. The first determination module 202, when performing optimization based on the maximum environment similarity to obtain the target human body information, is specifically used to:

[0117] Determine the human body information deviation value corresponding to the preset environment corresponding to the maximum environment similarity;

[0118] Based on the deviation value of human body information, the initial human body features are optimized to obtain the target human body features;

[0119] Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain the target posture information;

[0120] The combination of target posture information and target body features is used as target body information.

[0121] In a possible implementation of the embodiment of the present application, the target body information may include at least posture information and facial information. The second determination module 203, when determining the real-time interrogation status of the suspect based on the target body information and environmental information, is specifically used to:

[0122] Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information;

[0123] Based on the environmental information, a real-time query state is determined among several target states.

[0124] In a possible implementation of the embodiment of the present application, the generation module 204, when determining the target inquiry result based on the question and answer content and the real-time inquiry status, is specifically used to:

[0125] Determine the initial questioning results of the suspect based on the questions and answers;

[0126] Determine the target query result based on the initial query result and the real-time query status.

[0127] A possible implementation of the embodiment of the present application is a device for determining the inquiry result based on a digital police, further comprising:

[0128] Update modules for:

[0129] Determine whether the target query result is the same as the initial query result;

[0130] If not, the preset environment is updated based on the environment information.

[0131] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working process of the above-described device for determining the interrogation results based on digital police can refer to the corresponding process in the aforementioned method embodiment and will not be repeated here.

[0132] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device may further include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device does not constitute a limitation on the embodiments of the present application.

[0133] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0134] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0135] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0136] The memory 303 is used to store the application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the above method embodiment.

[0137] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), vehicle-mounted terminals (such as vehicle-mounted navigation terminals), and fixed terminals such as digital TVs, desktop computers, etc. It can also be a server, etc. Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0138] The embodiment of the present application provides a computer-readable storage medium, which stores a computer program, and when the computer is run on a computer, the computer can execute the corresponding content in the aforementioned method embodiment. Compared with the related art, after obtaining the surveillance image of the suspect, the embodiment of the present application determines the environmental information and initial human body information of the suspect based on the surveillance image to determine the current environment and current state of the suspect; because different environments may have an impact on the identification of human body information, this solution optimizes the human body information based on the maximum environmental similarity after determining the environmental similarity between multiple preset environments and environmental information, and can obtain more accurate target human body information; based on more accurate target human body information and environmental information, a more accurate real-time inquiry status of the suspect can be obtained; after obtaining the question and answer content corresponding to the suspect, based on the question and answer content and the more accurate real-time inquiry status, the inquiry result can be accurately determined.

[0139] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0140] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for determining the result of an inquiry based on a digital police, characterized in that: include: Acquire surveillance images corresponding to the suspect, and determine the environment information and initial human body information of the suspect based on the surveillance images; Determine the environmental similarities between a plurality of preset environments and the environmental information respectively; and based on the maximum environmental similarity, optimize the human body information to obtain target human body information; Determining the real-time interrogation status of the suspect based on the target human body information and the environmental information; Obtaining the question and answer content corresponding to the suspect, and determining a target questioning result based on the question and answer content and the real-time questioning status; The initial human body information at least includes initial human body features and initial posture information. The step of optimizing the human body information based on the maximum environmental similarity to obtain target human body information includes: Determine a human body information deviation value corresponding to a preset environment corresponding to the maximum environment similarity; Based on the human body information deviation value, the initial human body feature is optimized to obtain the target human body feature; Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain target posture information; Using a combination of the target posture information and the target body features as the target body information; The target human body information includes at least posture information and facial information. The determining the real-time interrogation status of the suspect based on the target human body information and the environmental information includes: Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information; Based on the environmental information, the real-time query state is determined among the plurality of target states.

2. The method for determining the interrogation result based on digital police according to claim 1, characterized in that: The determining of a target inquiry result based on the question and answer content and the real-time inquiry status includes: Determining the initial questioning result of the suspect based on the question and answer content; The target query result is determined according to the initial query result and the real-time query status.

3. The method for determining the interrogation result based on digital police according to claim 2, characterized in that: After determining the target inquiry result based on the question and answer content and the real-time inquiry status, the method further includes: Determining whether the target query result is the same as the initial query result; If not, the preset environment is updated based on the environment information.

4. A digital police-based interrogation result determination device, characterized in that: include: An acquisition module, used to acquire the surveillance image corresponding to the suspect, and determine the environment information and initial human body information of the suspect based on the surveillance image; A first determination module is used to determine the environmental similarities between a plurality of preset environments and the environmental information respectively; and based on the maximum environmental similarity, the human body information is optimized to obtain target human body information; A second determination module, configured to determine the real-time interrogation status of the suspect based on the target human body information and the environmental information; A generation module, used to obtain the question and answer content corresponding to the suspect, and determine the target questioning result based on the question and answer content and the real-time questioning status; The initial human body information at least includes initial human body features and initial posture information. The first determination module, when optimizing the human body information based on the maximum environment similarity to obtain target human body information, is used to: Determine a human body information deviation value corresponding to a preset environment corresponding to the maximum environment similarity; Based on the human body information deviation value, the initial human body feature is optimized to obtain the target human body feature; Based on the monitoring image and the target human body features, the initial posture information is optimized to obtain target posture information; Using a combination of the target posture information and the target body features as the target body information; The target human body information includes at least posture information and facial information. The second determination module, when determining the real-time interrogation status of the suspect based on the target human body information and the environmental information, is used to: Determining a plurality of initial states of the suspect based on the facial information, and determining a plurality of target states among the plurality of initial states based on the posture information; Based on the environmental information, the real-time query state is determined among the plurality of target states.

5. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the digital police-based interrogation result determination method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: A computer program is stored thereon, and when the computer program is executed in a computer, the computer is caused to execute the method for determining the interrogation result based on digital police as described in any one of claims 1 to 3.

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